neurosyntax policy-smoothing issues - Githubissues

neurosyntax / policy-smoothing

Prototype framework that provides native programming language support within Python for neural network-based policy smoothing.

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Lstmham

#13 ch3njust1n closed 7 years ago
0
Removed local folders

#12 timql closed 8 years ago
0
Get our infrastructure working for functions taking variable-length input

#11 timql opened 8 years ago
0
Meta-problem: deciding what class of neural network works best for a given function

#10 timql opened 8 years ago
2
moving forward pass functionality to train.py

#9 timql closed 8 years ago
0
Make neural network trainer work

#8 timql closed 8 years ago
1
Renaming dataHandler and some variables to adhere to conventions, and changing datahandler to expect feature iterators.

#7 timql closed 8 years ago
0
Style + version conventions

#6 timql opened 8 years ago
1
Come up with more ideas for policies that are structurally nontrivial

#5 timql opened 8 years ago
3
Add neural network instance caching for decorator functionality.

#4 lapets opened 8 years ago
0
Define basic decorator library for training a neural network on a function.

#3 lapets closed 8 years ago
1
Determine a suitable class of neural network for the cloud pricing use case.

#2 lapets opened 8 years ago
1
Collect AWS pricing information and derive policy algorithm implementation.

#1 lapets closed 8 years ago
1